In this talk, we will discuss the Siamese neural network architecture and will discuss the applications of it.
Here is a gist about the network:
A twin neural network is an artificial neural network that uses the same weights while working in tandem on two different input vectors to compute comparable output vectors. Often one of the output vectors is precomputed, thus forming a baseline against which the other output vector is compared.
In this talk, we will discuss the Siamese neural network architecture and will discuss the applications of it.
Here is a gist about the network:
A twin neural network is an artificial neural network that uses the same weights while working in tandem on two different input vectors to compute comparable output vectors. Often one of the output vectors is precomputed, thus forming a baseline against which the other output vector is compared.